Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.14712/fb2024070020085 http://scihub22266oqcxt.onion/10.14712/fb2024070020085 39231316!ä!39231316 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Folia+Biol+(Praha) 2024 ; 70 (2): 85-94 Nephropedia Template TP {{tp|p=39231316|t=2024. Integrating Lysosomal Genes and Immune Infiltration for Multiple Myeloma Subtyping and Prognostic Stratification |pdf=|usr=}}{{39231316}} gab.com Text Integrating Lysosomal Genes and Immune Infiltration for Multiple Myeloma Subtyping and Prognostic Stratification JO: Folia Biol (Praha) http://www.kidney.de/pget.php?&tw=1&pmid=39231316 #FOAvip Lysosomes are crucial in the tumour immune microenvironment, which is essential for the survival and homeostasis in multiple myeloma (MM). Here, we aimed to identify lysosome-related genes for the prognosis of MM and predicted their regulatory mechanisms. Gene expression profiles of MM from the GSE2658 and GSE57317 datasets were analysed. Lysosome-related differentially expressed genes (DEGs) were identified and used for molecular subtyping of MM patients. A prognostic model was constructed using univariate Cox regression and LASSO regression analyses. The relationship between prognostic genes, immune cell types, and autophagy pathways was assessed through correlation analysis. RT-qPCR was performed to validate the expression of prognostic genes in MM cells. A total of 9,954 DEGs were identified between high and low immune score groups, with 213 intersecting with lysosomal genes. Molecular subtyping revealed two distinct MM subtypes with significant differences in immune cell types and autophagy pathway activities. Five lysosome-related DEGs (CORO1A, ELANE, PSAP, RNASE2, and SNAPIN) were identified as significant prognostic markers. The prognostic model showed moderate predictive accuracy with AUC values up to 0.723. Prognostic genes demonstrated significant correlations with various immune cell types and autophagy pathways. Additionally, CORO1A, PSAP and RNASE2 expression was up-regulated in MM cells, while ELANE and SNAPIN were down-regulated. Five lysosomal genes in MM were identified, and a new risk model for prognosis was developed using these genes. This research could lead to discovering important gene markers for the treatment and prognosis of MM. Twit Text FOAVip Integrating Lysosomal Genes and Immune Infiltration for Multiple Myeloma Subtyping and Prognostic Stratification ????Folia Biol (Praha) http://www.kidney.de/pget.php?&tw=1&pmid=39231316 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=39231316 #FOAvip English Wikipedia <ref>{{Cite pmid|39231316}}</ref> Integrating Lysosomal Genes and Immune Infiltration for Multiple Myeloma Subtyping and Prognostic Stratification #MMPMID39231316 Deng S; Xiangang J; Zheng Z; Shen J Folia Biol (Praha) 2024[]; 70 (2): 85-94 PMID39231316show ga Lysosomes are crucial in the tumour immune microenvironment, which is essential for the survival and homeostasis in multiple myeloma (MM). Here, we aimed to identify lysosome-related genes for the prognosis of MM and predicted their regulatory mechanisms. Gene expression profiles of MM from the GSE2658 and GSE57317 datasets were analysed. Lysosome-related differentially expressed genes (DEGs) were identified and used for molecular subtyping of MM patients. A prognostic model was constructed using univariate Cox regression and LASSO regression analyses. The relationship between prognostic genes, immune cell types, and autophagy pathways was assessed through correlation analysis. RT-qPCR was performed to validate the expression of prognostic genes in MM cells. A total of 9,954 DEGs were identified between high and low immune score groups, with 213 intersecting with lysosomal genes. Molecular subtyping revealed two distinct MM subtypes with significant differences in immune cell types and autophagy pathway activities. Five lysosome-related DEGs (CORO1A, ELANE, PSAP, RNASE2, and SNAPIN) were identified as significant prognostic markers. The prognostic model showed moderate predictive accuracy with AUC values up to 0.723. Prognostic genes demonstrated significant correlations with various immune cell types and autophagy pathways. Additionally, CORO1A, PSAP and RNASE2 expression was up-regulated in MM cells, while ELANE and SNAPIN were down-regulated. Five lysosomal genes in MM were identified, and a new risk model for prognosis was developed using these genes. This research could lead to discovering important gene markers for the treatment and prognosis of MM. |*Lysosomes/metabolism/genetics[MESH] |*Multiple Myeloma/genetics/immunology[MESH] |Autophagy/genetics[MESH] |Biomarkers, Tumor/genetics[MESH] |Gene Expression Profiling[MESH] |Gene Expression Regulation, Neoplastic[MESH] |Humans[MESH] |Prognosis[MESH]Integrating Lysosomal Genes and Immune Infiltration for Multiple Myelo(epmc).pdf DeepDyve Pubget Overpricing